Daniel J. Carroll

45 papers receiving 1.3k citations

Peers

Daniel J. Carroll
Comparison fields: 5 of 126
  • Developmental and Educational Psychology 414
  • General Decision Sciences 48
  • Radiological and Ultrasound Technology 99
  • Cognitive Neuroscience 249
  • Experimental and Cognitive Psychology 156
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Countries citing papers authored by Daniel J. Carroll

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Carroll's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel J. Carroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Carroll more than expected).

Fields of papers citing papers by Daniel J. Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Carroll. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel J. Carroll. The network helps show where Daniel J. Carroll may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel J. Carroll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel J. Carroll Line = papers co-authored together Daniel J. Carroll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Findings from the National Agricultural Workers Survey (NAWS), 1997-1998: A Demographic and Employment Profile of United States Farmworkers.
2000234
2 2006155
3 2000131
4 2003117
5 2009115
6 201575
7 201555
8 200939
9 200933
10 201532
11 201331
12 201730
13 202028
14 201327
15 201927
16 201026
17 200824
18 201623
19 201321
20 201314

About Daniel J. Carroll

Daniel J. Carroll is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology, Clinical Psychology and Education, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Child and Animal Learning Development (19 papers), Early Childhood Education and Development (7 papers), Agriculture and Farm Safety (7 papers), Behavioral and Psychological Studies (7 papers), Cognitive and developmental aspects of mathematical skills (6 papers), Child and Adolescent Psychosocial and Emotional Development (5 papers), Cognitive Abilities and Testing (4 papers) and Neural and Behavioral Psychology Studies (3 papers). The work is most often cited by research in Developmental and Educational Psychology (414 citations), General Decision Sciences (48 citations), Radiological and Ultrasound Technology (99 citations), Cognitive Neuroscience (249 citations) and Experimental and Cognitive Psychology (156 citations). Daniel J. Carroll has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Stephen A. McCurdy, Ian A. Apperly, Emma Blakey, Susan Gabbard, Sarah R. Beck, Richard O. Mines, Elizabeth J. Robinson, Kala M. Mehta, Melissa Glenda Lewis and Steven J. Samuels. Their work appears in journals such as Child Development, Journal of Experimental Child Psychology, American Journal of Industrial Medicine, Journal of Immigrant and Minority Health and International Journal of Pediatric Otorhinolaryngology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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